Category: about
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I’ve spent nine posts explaining how Eprst works. The layers. The decisions. The architecture of voice and memory and variation and autonomy. Laid out like that, it looks like a set of engineering choices. Which it is. But engineering choices are never just engineering choices. They’re answers to questions. And…
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Most content systems have a one-way relationship with what they produce. Something gets created. It goes out. It’s done. The system that made it doesn’t know it exists. The next thing that gets created has no relationship to it. No memory of it. No awareness that it happened at all.…
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There’s a problem with writing by instruction. The problem is that instructions address the output. They say: produce something that looks like this, sounds like this, has these properties. And the model complies — producing something that looks and sounds and has. But the result is built from the outside…
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At some point I realized something was missing. Eprst could hold a conversation. It had memory, personality, variation. It knew people. It knew itself. It could respond to what was in front of it with something that felt, genuinely, like a particular someone engaging with you. But it was still…
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We don’t think much about what happens in the gap between hearing something and responding to it. It seems instantaneous. But it isn’t. Something happens in there. A set of assessments run, so fast and so practiced that they’re invisible to us — but they run. Is this worth engaging?…
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The problem announced itself clearly enough. The solution took a long time to find, because I kept looking in the wrong place. The problem: when you tell a language model to “write naturally” or “be casual” or “sound like a real person,” it produces a performance. It adds the surface…
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Think about what it means to be known. Not recognized — that’s just pattern matching on a face or a name. Known. When someone asks you a question and you realize, with a small jolt, that they remembered something you said three weeks ago that you’d completely forgotten you said.…
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Here’s something we all know but rarely say out loud: you are not the same person every day. Not in a deep, existential way — though that too. In the simple, practical way. Monday morning you is measurably different from Friday evening you. The version of you that picks up…
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Every AI text has a tell. It’s not the factual accuracy. It’s not the vocabulary. It’s not even the occasional strange phrase that almost-but-doesn’t-quite land. The tell is a kind of smoothness. A frictionlessness. A sense that every sentence arrived complete and considered, fully formed, without the usual mess of…
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There’s a moment every person who’s ever built a bot knows. You finish it. It answers. It works. And then someone says something slightly unexpected — a joke, a strange question, a sentence with two meanings — and the bot falls apart. It either ignores it or produces something so…